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AI in Action: Leveraging NLP to Answer Subjective Questions
Duration: 1 hour
Measuring impact is easy when there are quantifiable data points available – financial metrics, survey measurements, or even binary flags. But how do you answer questions about process or impact when there is very little quantifiable data available? Join us for a fireside chat (webinar) as we dive into leveraging Natural Language Processing (NLP) models to analyze machine-readable transcripts for key insights related to company support of the LGBTQ+ community.
In this session, you will learn:
- How to craft a premise which can target the most meaningful insights
- Best practices for training the model to avoid excess noise
- Methods for analyzing the results and uncovering additional questions
- Opportunities to add firmographics or other reference data to tell a broader story
Authors of the paper, Assessing Companies' LGBTQ+ Engagement: The Balance Between Public Mention and Supportive Action, will be joined by ProntoNLP, a partner with a low-code NLP platform to give businesses greater access to AI tools.
Speakers
Emily Jasper
Director, Company Information Services
S&P Global Market Intelligence
Ilan Attar
Data Science & Product Team Lead
ProntoNLP
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AI in Action: Leveraging NLP to Answer Subjective Questions
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